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Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM)

Danette McGilvray




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 | #487570 in Books |  Morgan Kaufmann Publishers |  2008-07-25 | Original language:English | PDF # 1 |  10.80 x.90 x8.40l,2.45 | File type: PDF | 352 pages

 | Morgan Kaufmann Publishers

||1 of 1 people found the following review helpful.| Industry Best!|By SRONMI|I've read a half dozen books on data quality and this is the best of the lot! I like the editing of this book. McGilvray doesn't repeat content or concepts ad infinim like Larry P. English.

McGilvray's ten data quality process steps are compelling in their simplicity and efficiency. Her thoughts on the data quality lifecycle are common sen| |My esteemed colleague describes a practical approach for planning and managing information quality. I recommend you read, understand, and apply the learnings found here. | - Larry P. English, President and Principal, Information Impact International, creator

Executing Data Quality Projects presents a systematic, proven approach to improving and creating data and information quality within the enterprise.

Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions.

This book describes a Ten Step approach that...

You easily download any file type for your gadget.Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM)   |  Danette McGilvray. Which are the reasons I like to read books. Great story by a great author.

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